H-1B1 Singapore Visa Data Scientist Jobs
Data Scientist roles qualify for H-1B1 Singapore visa sponsorship under the U.S.-Singapore Free Trade Agreement, with no lottery and a 5,400-visa annual cap that has never been exhausted. Employers file the Labor Condition Application directly with DOL, and you apply at the U.S. Embassy in Singapore, bypassing USCIS entirely.
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Get Access To All JobsAbout the Team
The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.
Please apply here for all non-managerial levels within the following analytics teams:
- Consumer & Growth
- Business Operations
- Dasher & Logistics
- Customer Experience & Integrity
- Merchant, Ads & Sales
- New Verticals
- International Data Science
About the Role
As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!
You're excited about this opportunity because you will…
- Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
- Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
- Work with and mentor junior analysts on how to use more advanced methods and solve challenges
- Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
- Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
- Identify and measure levers to help move essential metrics and make recommendations
- Work backwards from understanding and sizing problems to ideating solutions
- Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
- Collaborate with engineering to implement, document, validate, and monitor our logging
We're excited about you because you have…
- A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
- 2+ years of experience in data analytics, consulting, or related role
- Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc.
- Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
- Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
- The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.
About the Team
The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.
Please apply here for all non-managerial levels within the following analytics teams:
- Consumer & Growth
- Business Operations
- Dasher & Logistics
- Customer Experience & Integrity
- Merchant, Ads & Sales
- New Verticals
- International Data Science
About the Role
As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!
You're excited about this opportunity because you will…
- Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
- Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
- Work with and mentor junior analysts on how to use more advanced methods and solve challenges
- Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
- Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
- Identify and measure levers to help move essential metrics and make recommendations
- Work backwards from understanding and sizing problems to ideating solutions
- Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
- Collaborate with engineering to implement, document, validate, and monitor our logging
We're excited about you because you have…
- A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
- 2+ years of experience in data analytics, consulting, or related role
- Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc.
- Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
- Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
- The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.
See all 353+ H-1B1 Singapore Visa Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Data Scientist Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Scientist
Verify your degree field matches the role
H-1B1 visa requires a specialty occupation tied to a specific academic discipline. A Data Scientist role must map to a degree in statistics, computer science, mathematics, or a directly related field. A general business degree won't satisfy the requirement even if you've been doing data work for years.
Use OFLC Wage Search before salary negotiations
Your employer's Labor Condition Application must certify a wage at or above the DOL prevailing wage for Data Scientists in that metro area. Pull the Level I through Level IV wage tiers from OFLC Wage Search before any offer conversation so you know the floor before they name a number.
Target employers already filing H-1B1 LCAs
Search Migrate Mate to identify employers with verified H-1B1 Singapore LCA filing history for data and analytics roles. These companies have already navigated the DOL certification process and don't need internal education on how the visa works.
Confirm the SOC code on your job offer
Employers assign a Standard Occupational Classification code when filing the LCA. For Data Scientist roles, insist on SOC 15-2051 rather than a broader software developer code. The wrong SOC code can create a prevailing wage mismatch that delays or complicates your consular application.
Prepare an O*NET-aligned job duties summary
Consular officers assess whether your role genuinely requires a theoretical and practical application of highly specialized knowledge. Pull the Data Scientist occupation profile from O*NET and align your offer letter's duties language to it before your Embassy appointment in Singapore.
Time your application around two-year renewal windows
H-1B1 visa is issued in one-year increments at the consulate but your employer can request two-year validity on the LCA. Confirm your employer files for the full two-year period so you avoid annual return trips to the Embassy while you're building tenure in a data role.
Frequently Asked Questions
Does a Data Scientist role qualify as a specialty occupation for H-1B1 Singapore?
Yes. Data Scientist positions qualify because they require at least a bachelor's degree in a specific field such as statistics, computer science, or applied mathematics. The role must genuinely require theoretical and practical application of highly specialized knowledge. Roles where any bachelor's degree is acceptable regardless of field would not satisfy the specialty occupation standard under H-1B1 visa.
How does H-1B1 Singapore compare to H-1B for Data Scientist roles?
The H-1B1 Singapore visa has a 5,400-visa annual cap that has never been exhausted, so there's no lottery and no random selection risk. H-1B visa has an 85,000-visa cap subject to an oversubscribed lottery most years. H-1B1 is also processed at the U.S. Embassy in Singapore rather than through USCIS, which typically means a faster path to starting work once your employer's Labor Condition Application is certified by DOL.
How do I find employers who will sponsor an H-1B1 Singapore visa for a Data Scientist position?
Search Migrate Mate to find employers with active H-1B1 Singapore LCA filing history for data science and analytics roles. Many companies default to H-1B sponsorship workflows internally, so targeting employers who have already processed H-1B1 applications saves you from having to educate hiring teams or legal departments about how the visa works during the offer stage.
Can my employer sponsor H-1B1 while I'm still in Singapore before relocating?
Yes. The H-1B1 Singapore process is consular-based, meaning your employer files the Labor Condition Application with DOL and you apply for the visa stamp at the U.S. Embassy in Singapore before you travel. You don't need to already be in the United States. Once the Embassy approves your application, you enter the U.S. in H-1B1 status on your first day of work.
What documentation does a Data Scientist need for the H-1B1 consular interview?
You'll need your certified Labor Condition Application, a support letter from your employer detailing your Data Scientist duties, educational transcripts and degree certificates confirming your relevant field of study, and DS-160 confirmation. Because the specialty occupation claim rests on the degree-to-role connection, bring documentation showing how your academic background directly applies to the data science work you'll be performing.